BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wen Z, Yan C, Duan G, Li S, Wu FX, Wang J. A survey on predicting microbe-disease associations: biological data and computational methods. Brief Bioinform 2021;22:bbaa157. [PMID: 34020541 DOI: 10.1093/bib/bbaa157] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Gupta MM, Gupta A. Survey of artificial intelligence approaches in the study of anthropogenic impacts on symbiotic organisms – a holistic view. Symbiosis 2021;84:271-83. [DOI: 10.1007/s13199-021-00778-0] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Yin M, Gao Y, Shang J, Zheng C, Liu J. Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Generation Computer Systems 2022;134:247-55. [DOI: 10.1016/j.future.2022.04.012] [Reference Citation Analysis]
3 Chen Y, Lei X. Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction. Front Microbiol 2022;13:919380. [PMID: 35711758 DOI: 10.3389/fmicb.2022.919380] [Reference Citation Analysis]
4 Wang L, Tan Y, Yang X, Kuang L, Ping P. Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models. Brief Bioinform 2022:bbac080. [PMID: 35325024 DOI: 10.1093/bib/bbac080] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Yang X, Kuang L, Chen Z, Wang L. Multi-Similarities Bilinear Matrix Factorization-Based Method for Predicting Human Microbe-Disease Associations. Front Genet 2021;12:754425. [PMID: 34721543 DOI: 10.3389/fgene.2021.754425] [Reference Citation Analysis]
6 Ai C, Yang H, Ding Y, Tang J, Guo F. A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. Neurocomputing 2022;493:91-105. [DOI: 10.1016/j.neucom.2022.04.068] [Reference Citation Analysis]